PDF | GANs in Action – Deep Learning with Generative Adversarial Networks

GANs in Action – Deep Learning with Generative Adversarial Networks

Format: PDF eTextbooks
ISBN-13: 978-1617295560
ISBN-10: 1617295566
Delivery: Instant Download
Authors: Vladimir Bok
Publisher: Manning Publications

Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks’ one that generates content and the other that rejects samples that are of poor quality.

GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you’ll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you’ll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks.